• DocumentCode
    1729060
  • Title

    A region-based approach for RSS indoor localization

  • Author

    Hung-Nguyen Manh ; Ching-Chun Huang ; Lee Hsiao-Yi

  • Author_Institution
    Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2015
  • Firstpage
    80
  • Lastpage
    81
  • Abstract
    In this paper, we proposed a region-based approach for indoor localization based on the fingerprint of radio signal strength (RSS). Unlike conventional fingerprint-based methods that based on point information to infer user´s location, we used region information for indoor localization. Our results show that the proposed system has better positioning accuracy and more robustness to signal noise and dynamic environment.
  • Keywords
    radio networks; RSS indoor localization; dynamic environment; fingerprint based methods; radio signal strength; region information; signal noise; Estimation; Fingerprint recognition; Kernel; Noise; Sensors; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2015.7217041
  • Filename
    7217041
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1729060